Sydney Cloudera Sessions

6 October 2017 at L’Aqua

It happens in Sydney, Australia on 6 October 2017

Join us for Cloudera Sessions 2017, where data professionals from ANZ gather to discuss some of the hottest topics in the digital age. The session will cover various topics from Cloud, Internet of Things, Big Data Analytics, Machine Learning to Artificial Intelligence (AI). Learn from the customers who have walked this journey, and partners who have helped customers achieved the big data success. If you want to get technical, we have deep dive sessions in the afternoon where you can learn more and talk to the experts. Cloudera session is a place to network with like-minded professionals and learn how others have used data-driven insights to grow businesses, improve efficiencies, and manage risk.

Agenda

Morning Session - for business decision-makers

8:00am – Registration

9:00am – Welcome by Country Manager, Shyam Sundar

9:05am - Cloudera Keynote: Powering Possibilities by Steven Totman

Businesses and organizations of all sizes are suddenly flooded in data from a hyper-connected world and need solutions to analyse and act upon it. Machine Learning and Artificial Intelligence (AI) have emerged to help understand patterns in the data, predict outcomes, and prescribe the optimal actions to impact those outcomes. New use cases for machine learning are emerging every day – ranging from predictive maintenance and fraud detection, to product recommendation engines and proactive customer support. Gain first-hand experience into how some of the world’s best organizations are using data-driven insights to grow their businesses, operate more efficiently and manage risk.

10:00am – Presentation by Murad Khan, Principal at Deloitte

10:30am – Coffee Break

10:45am – Panel Discussion: Turning Data into Real Business Value

11:30am – Roundtable Discussions

12:30pm – Lunch

Afternoon Session - for technical decision-makers

13:10pm – Cloudera in the Cloud

From speeding deployment times, to lowering TCO, to driving greater workforce agility, cloud infrastructure can deliver a number of benefits back to your business. In this session, we will cover how to run your Hadoop workloads on public cloud, optimizing for cluster transience, elasticity, object-store integration, and flexible pricing.

13:50pm – Data Science in the Enterprise

Self-service data science is easier said than delivered, especially on Apache Hadoop. Most organizations struggle to balance the diverging needs of the data scientist, data engineer, operator, and architect. This talk will cover the underlying root causes and introduce new capabilities being developed to make self-service data science a reality.